Update app.py

app.py

@@ -8,14 +8,14 @@ image_to_video_pipe = pipeline(task="image-to-video", model='damo/i2vgen-xl', mo
 
 # Get the current working directory
 current_directory = os.path.dirname(os.path.realpath(__file__))
-print("Current Working Directory:", current_directory)
+print("", current_directory)
 
 def upload_file(file):
     return file.name
 
 def image_to_video(image_in, text_in):
     if image_in is None:
-        raise gr.Error('Please upload the image or wait for the image upload to complete / 请上传图片或等待图片上传完成')
+        raise gr.Error('Please upload the image or wait for the image upload to complete')
     print(image_in)
     output_video_path = image_to_video_pipe(image_in, caption=text_in)[OutputKeys.OUTPUT_VIDEO]
     print(output_video_path)
@@ -24,28 +24,28 @@ def image_to_video(image_in, text_in):
 
 with gr.Blocks() as demo:
     gr.Markdown(
-        """<center><font size=7>I2VGen-XL</center>
-        <left><font size=3>I2VGen-XL可以根据用户输入的静态图像和文本生成目标接近、语义相同的视频，生成的视频具高清(1280 * 720)、宽屏(16:9)、时序连贯、质感好等特点。</left>
+        """<center><font size=7>COLIPIC.AI-XLv2</center>
+        <left><font size=3>SRI LANKA</left>
 
-        <left><font size=3>I2VGen-XL can generate videos with similar contents and semantics based on user input static images and text. The generated videos have characteristics such as high-definition (1280 * 720), widescreen (16:9), coherent timing, and good texture.</left>
+        <left><font size=3>COLIPIC.AI-XLv2 can generate videos with similar contents and semantics based on user input static images and text. The generated videos have characteristics such as high-definition (1280 * 720), widescreen (16:9), coherent timing, and good texture.</left>
         """
     )
     with gr.Box():
         gr.Markdown(
-        """<left><font size=3>选择合适的图片进行上传，并补充对视频内容的英文文本描述，然后点击“生成视频”。</left>
+        """<left><font size=3></left>
 
         <left><font size=3>Please choose the image to upload (we recommend the image size be 1280 * 720), provide the English text description of the video you wish to create, and then click on "Generate Video" to receive the generated video.</left>"""
         )
         with gr.Row():
             with gr.Column():
-                text_in = gr.Textbox(label="Text description/文本描述", lines=2, elem_id="text-in")
-                image_in = gr.Image(label="Image Input/图片输入", type="filepath", interactive=False, elem_id="image-in", height=300)
+                text_in = gr.Textbox(label="Text description", lines=2, elem_id="text-in")
+                image_in = gr.Image(label="Image Input", type="filepath", interactive=False, elem_id="image-in", height=300)
                 with gr.Row():
-                    upload_image = gr.UploadButton("Upload Image/上传图片", file_types=["image"], file_count="single")
-                    image_submit = gr.Button("Generate video/生成视频🎬")
+                    upload_image = gr.UploadButton("Upload Image", file_types=["image"], file_count="single")
+                    image_submit = gr.Button("Generate video")
             with gr.Column():
-                video_out_1 = gr.Video(label='Generated Video/生生成的视频', elem_id='video-out_1', interactive=False, height=300)
-    gr.Markdown("""<left><font size=2>注：如果生成的视频无法播放，请尝试升级浏览器或使用chrome浏览器。</left>
+                video_out_1 = gr.Video(label='Generated Video', elem_id='video-out_1', interactive=False, height=300)
+    gr.Markdown("""<left><font size=2></left>
     
         <left><font size=2>Note: If the generated video cannot be played, please try to upgrade your browser or use the Chrome browser.</left>"""
                )